Professor Charles Norman MacLeod

Electronic and Electrical Engineering

Contact

Personal statement

Charles MacLeod is a Professor in the Centre for Ultrasonic Engineering. 

He is the Babcock International Group / Royal Academy of Engineering Chair in Sensor-Driven Automated Welding.

He is director of the Sensor Enabled Automation & Robotics Control Hub (SEARCH), a £24M research innovation and technology transfer laboratory. Aligned to this, he is Course Director of the Autonomous Robotic Intelligent Systems (ARIS) MSc.

His research is primarily associated with the inspection and manufacturing enhancement of high-value assets and components, where he leads a number of high-profile inter-disciplinary in-process welding and metal additive research projects.

He has driven and co-developed core robotic and ultrasonic technology from fundamental EPSRC research, which is now being licensed by a leading industrial organisation and co-developed an innovative inspection robot for a critical life-extension inspection at Sellafield Reprocessing Facility.

He is the PI and designer of the Engaging Robotic Interactive Cell (ERIC) STEM Outreach cell. 

His research interests include:

Non-Destructive Evaluation

In-Process Inspection of Fusion Welding & Metal Additive Components

Sensors including Ultrasonic, Electromagnetic, Tactile and Visual

Automation & Robotics 

Automated Manufacturing & Welding

Teaching Activities.

Course Director: Autonomous Robotic Intelligent Systems (ARIS) MSc.

Module Registrar: EE987 Sensors & Instrumentation

Lecturer: EE312 Instrumentation and Microcontrollers 

Back to staff profile

Publications

Inspection of wind turbine bolted connections using the Ultrasonic Phased Array system
Mills Brandon, Javadi Yashar, Abad Farhad, Lotfian Saeid, MacLeod Charles, Mehmanparast Ali, Pierce Gareth, Gachagan Anthony
Heliyon Vol 10 (2024)
https://doi.org/10.1016/j.heliyon.2024.e34579
Evaluation of pulse eddy current for autonomous airborne inspections
Zhao Taiyi, Zhang Dayi, Watson Robert, Jackson William, MacLeod Charles Norman, Mohseni Ehsan, Dobie Gordon
IEEE Sensors Letters Vol 8 (2024)
https://doi.org/10.1109/LSENS.2024.3424910
A technique for medium-range through-thickness focusing using Lamb waves
Tzaferis Konstantinos, Dobie Gordon, Lines Dave, MacLeod Charles
NDT and E International Vol 145 (2024)
https://doi.org/10.1016/j.ndteint.2024.103085
Towards an in-process ultrasonic phased array inspection method for narrow-gap welds
Nicolson Ewan, Mohseni Ehsan, Lines David, Tant Katherine MM, Pierce Gareth, MacLeod Charles N
NDT and E International Vol 144 (2024)
https://doi.org/10.1016/j.ndteint.2024.103074
A study of machine learning object detection performance for phased array ultrasonic testing of carbon fibre reinforced plastics
Tunukovic Vedran, McKnight Shaun, Mohseni Ehsan, Pierce S Gareth, Pyle Richard, Duernberger Euan, Loukas Charalampos, Vithanage Randika KW, Lines David, Dobie Gordon, MacLeod Charles N, Cochran Sandy, O'Hare Tom
NDT and E International Vol 144 (2024)
https://doi.org/10.1016/j.ndteint.2024.103094
In-process ultrasonic inspection during fusion welding
Sweeney Nina, Lines David, MacLeod Charles Norman, Loukas Charalampos, Wathavana Vithanage Randika Kosala, Vasilev Momchil, Mohseni Ehsan, Parke Simon, Burnett Anthony, Murray Colin, Symington Mark, Holt Albert
32nd ASNT Research Symposium (2024)

More publications

Back to staff profile

Professional Activities

The 77th Annual Assembly of International Institute of Welding (IIW) and International Conference on Welding and Joining
Participant
7/7/2024
NEWAM Final Industry Day
Organiser
18/6/2024
RCNDE
Host
22/5/2024
UK & Ireland IEEE UFFC Chapter Annual Meeting 2024
Participant
14/5/2024
Lincoln Electric France SAS.
Visiting researcher
5/3/2024
Polysoude
Visiting researcher
8/2/2024

More professional activities

Projects

KTP 10106664: Knowledge transfer partnership between University of Strathclyde and ETHER NDE LIMITED
Mohseni, Ehsan (Principal Investigator) Dobie, Gordon (Principal Investigator) MacLeod, Charles Norman (Principal Investigator)
ETher NDE has identified a significant potential market for in-process Non-Destructive inspection, of high temperature additive manufacturing.
In most traditional material manufacture, inspection is done on a finished soliditem after manufacture. Whereas in additive manufacture, there is the opportunityfor inspection as the layers are built up. This would be particularly relevant forparts where the core is an open lattice (for reasons of weight reduction), whichmakes conventional non-destructive testing (NDT) at the best very difficult and atworst impossible.
It is imperative that the new product offering is integrated seamlessly with ETherNDE's existing technology where complementary hardware and applicationrequirements align. The innovative proposed product will be designed to work withexisting Eddy Current hardware from ETher's product range. There'll be a PCapplication to facilitate data collection, display, analysis, and reporting.
The metal additive manufacturing market is still emerging, and engagement withAM machine builders has revealed a significant gap in NDT technology. ETherNDE is ready and well-positioned to enter the Eddy Current array market for metalAM in aerospace, and other sectors, with the vision and ambition of overtakingtraditional in-process inspection, thereby helping them gain a technological edgeover their global competitors.
01-Jan-2024 - 30-Jan-2027
KTP 10106861: Knowledge transfer partnership between University of Strathclyde and NATIONAL OILWELL VARCO UK LIMITED
Mohseni, Ehsan (Principal Investigator) MacLeod, Charles Norman (Principal Investigator) Lines, David (Principal Investigator)
The National Oilwell Varco UK Limited team in Forfar is responsible for the standardisation of non-destructive evaluation (NDE)procedures for our equipment across the globe. Conventional calibration practicedby NOV can be unreliable, as the testing equipment may travel thousands of milesoverseas after the initial calibration. The rigours of the journey could can alter thecharacteristics of the calibration equipment and thus make comparison toequipment in the field unreliable. NOV's oilwell drilling components are oftenmetres in span and extremely heavy, which makes it practically impossible to havestandard reference blocks of the same size as the original equipment. Introducingportable, down-scaled sensitivity pieces for calibration use in the field willtransform the reliability of NDE processes and safety of the components inoperation, minimising the risks of failure and shutdown. The accuracy of amanufactured sensitivity piece is critical: the defects/discontinuities must bereliable and consistent with the piece of equipment targeted for calibration.
Through this KTP, NOV will gain the permanent capacity to design, manufacture,and use sensitivity pieces for in-field inspection of equipment using Phased ArrayUltrasonic Testing (PAUT).
01-Jan-2024 - 31-Jan-2026
Robotic laser ultrasonic inspection system for integration with a WAAM cell (Royce Industrial Collaboration Programme)
Stratoudaki, Theodosia (Principal Investigator) MacLeod, Charles Norman (Co-investigator) Pierce, Gareth (Co-investigator)
01-Jan-2023 - 31-Jan-2024
Improving Ultrasonic Imaging using Machine Learning - FIND CDT EngD with Rolls Royce
Tant, Katherine Margaret Mary (Principal Investigator) MacLeod, Charles Norman (Co-investigator)
01-Jan-2023 - 30-Jan-2027
DTP 2224 University of Strathclyde | Macleod, James
MacLeod, Charles Norman (Principal Investigator) Dobie, Gordon (Co-investigator) Macleod, James (Research Co-investigator)
01-Jan-2023 - 01-Jan-2027
Multi-Modal Sensing for Heavy-Manufacturing Robotic Welding
Loukas, Charalampos (Principal Investigator) MacLeod, Charles Norman (Principal Investigator)
Fusion welding of metals is a joining method fundamental to High-Value Manufacturing (HVM). Distinctive challenges such as the global shortage of welders and the increasing requirement for high-integrity components in the energy and defence sectors fuel the need to research and adopt digital welding
technologies such as sensor-enabled robotic welding. Surface and volumetric sensing approaches at the point of manufacture coupled with real-time robotic motion offer the possibility to control, adapt and consistently ensure defect-free fusion. This project seeks to investigate novel event-based neuromorphic vision sensing coupled to high-temperature in-process ultrasonic imaging to deliver high-integrity welds right the first time.

26-Jan-2023 - 30-Jan-2023

More projects

Back to staff profile

Contact

Professor Charles Norman MacLeod
Electronic and Electrical Engineering

Email: charles.macleod@strath.ac.uk
Tel: Unlisted